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Exposing fraud early results in real financial savings. At the same time, poor detection rates and high incidents of false alarms drive up staff review costs—and drive away loyal customers.
“The biggest problem with older technology is that it reacts to threats rather than anticipating them.”
—Dr. Pedro Bizarro, Chief Data Scientist
Our machine learning models can detect fraud up to 30% earlier than traditional methods. We can detect risky behavior and block more bad transactions before damage occurs, during the instance of first intrusion. When benchmarked at a standard 20% false positive rate, our machine learning models detect up to 80% of fraudulent activity —two-thirds more than traditional systems.
Feedzai Risk & Fraud™ software looks at risk and fraud management in a whole new way, in fact, by analyzing it every which way. More intelligent algorithms can transform risk and fraud teams from adversaries into internal advocates for your customer.
Risk and fraud management traditionally rely on data sampling and customer segmentation, leaving blindspots. However, each one of your customers is a segment of one and not a sample of many. Traditional risk mitigation tools lack the analytics resolution needed to distinguish fraudsters from friendlies, and cause your frontline operations to mistake good customers for criminals.
Feedzai’s risk and fraud algorithms devour every byte of data about your customers, guarding every one of their transactions, and preserving the customer experience.
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